When AI meets DevOps: Getting the best out of both worlds

DevOps has been widely embraced by businesses under pressure to get competitively advantageous digital deliverables to market at the fastest possible cadence--especially given the reality of limited coder headcount and the need to rigorously avoid brand-toxic snafus in the customer experience. Artificial intelligence (AI), in stark contrast, is a potentially transformative digital discipline that is still very new to most enterprise IT organizations. But while it's certainly important that CIOs nurture AI adoption with appropriately resourced pilots, it's also essential to link nascent AI efforts to maturing DevOps concept-to-production pipelines. "AI" has become a catch-all term to describe a broad range of algorithm-based disciplines such as machine learning and natural language processing capable of discovering patterns, trends and anomalies in large volumes of diverse data. Given the wealth of data increasingly available to businesses, this AI-based discovery can potentially deliver significant benefits--from anticipating customer needs to identifying emerging market risk.